Examining proximity to death and health care expenditure by disease: a Bayesian-based descriptive statistical analysis from the National Health Insurance database in Japan | Health Economics Review |

Examining proximity to death and health care expenditure by disease: a Bayesian-based descriptive statistical analysis from the National Health Insurance database in Japan | Health Economics Review |

Background Japan is one of the Organization for Economic Co-operation and Development (OECD) countries where population aging and increasing health care expenditures (HCE) are urgent issues. Recent studies have identified factors other than age, such as proximity to death and morbidity, as contributing factors to the increase in medical costs. It is important to assess HCE by disease and analyze their factors to estimate and improve future HCE. Methods We extracted individual records spanning approximately 2 years prior to the death of persons aged 65 to 95 years from the National Health Insurance data in Japan, and used a Bayesian approach to decompose monthly HCE into five disease groups (circulatory, chronic kidney disease, neoplasms, respiratory, and others). The relationship between the proximity to death and the average HCE in each disease group was stratified by sex and age and analyzed using a descriptive statistical method similar to the two-part model. Results The average HCE

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@Maxwell_110
@Maxwell_110 Examining PTD and HCE by Disease 📝 t.co/xUJUknRTnV 高齢層における死亡前二年間の月別医療費を性・年齢で層化し傷病別に分析 RStan を用いたベイズ手法で医療費を各傷病に cost-allocate し,2-part model(freq/severity)で平均医療費を推定 結果,若年側の癌の医療費が大きいと報告 t.co/lKWqBdlZ9W

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